Energy-Efficient Distributed Computing Systems
eBook - ePub

Energy-Efficient Distributed Computing Systems

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Energy-Efficient Distributed Computing Systems

About this book

The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns.Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing.

Key features:

  • One of the first books of its kind
  • Features latest research findings on emerging topics by well-known scientists
  • Valuable research for grad students, postdocs, and researchers
  • Research will greatly feed into other technologies and application domains

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Yes, you can access Energy-Efficient Distributed Computing Systems by Albert Y. Zomaya, Young Choon Lee, Albert Y. Zomaya,Young Choon Lee in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Acknowledgments
  6. Contributors
  7. Chapter 1: Power Allocation and Task Scheduling on Multiprocessor Computers with Energy and Time Constraints
  8. Chapter 2: Power-Aware High Performance Computing
  9. Chapter 3: Energy Efficiency in HPC Systems
  10. Chapter 4: A Stochastic Framework for Hierarchical System-Level Power Management
  11. Chapter 5: Energy-Efficient Reservation Infrastructure for Grids, Clouds, and Networks
  12. Chapter 6: Energy-Efficient Job Placement on Clusters, Grids, and Clouds
  13. Chapter 8: Toward Energy-Aware Scheduling Using Machine Learning
  14. Chapter 9: Energy Efficiency Metrics for DATA Centers
  15. Chapter 10: Autonomic Green Computing in Large-Scale Data Centers
  16. Chapter 11: Energy and Thermal Aware Scheduling in Data Centers
  17. Chapter 12: QOS-Aware Power Management in Data Centers
  18. Chapter 13: Energy-Efficient Storage Systems for Data Centers
  19. Chapter 14: Autonomic Energy/Performance Optimizations for Memory in Servers
  20. Chapter 15: ROD: A Practical Approach to Improving Reliability of Energy-Efficient Parallel Disk Systems
  21. Chapter 16: Embracing the Memory and I/O Walls for Energy-Efficient Scientific Computing
  22. Chapter 17: Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption
  23. Chapter 18: The Paramountcy of Reconfigurable Computing
  24. Chapter 19: Workload Clustering for Increasing Energy Savings on Embedded MPSoCs
  25. Chapter 20: Energy-Efficient Internet Infrastructure
  26. Chapter 21: Demand Response in the Smart Grid: A Distributed Computing Perspective
  27. Chapter 22: Resource Management for Distributed Mobile Computing
  28. Chapter 23: An Energy-Aware Framework for Mobile Data Mining
  29. Chapter 24: Energy Awareness and Efficiency in Wireless Sensor Networks: from Physical Devices to the Communication Link
  30. Chapter 25: Network-Wide Strategies for Energy Efficiency in Wireless Sensor Networks
  31. Chapter 26: Energy Management in Heterogeneous Wireless Health Care Networks
  32. Index
  33. Series